Damage detection using thermal experiments and wavelet transformation

Ziopaja, Krzysztof; Pozorski, Zbigniew; Garstecki, Andrzej

doi:10.1080/17415977.2010.531475

Cited by 18 publications

(11 citation statements)

References 14 publications

(16 reference statements)

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“…In plate structures, a 2D WT used by Loutridis et al (2005) and Rucka and Wilde (2004); Douka et al (2004) used 1D WT to analytically determined mode shapes along several perpendicular lines while Chang and Chen (2004) used spatial wavelet analysis to estimate the crack size. Damage detection while using 1D and 2D DWT of a temperature field recorded on the surface of a plate structure was discussed in Ziopaja et al (2011). More complex structures such as frames were analysed by Ovanesova and Suarez (2004) and trusses by Knitter-Piątkowska et al (2014).…”

Section: Introductionmentioning

confidence: 99%

Crack identification in plates using 1-D discrete wavelet transform

Knitter-Piątkowska

Guminiak

Hloupis

2017

jtam

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In the present work, the defect detection while using Discrete Wavelet Transform in rectangular plate structures is investigated. The plate bending is described by using the Boundary Element Method with boundary integral equations formulated in a modified simplified approach. The boundary elements of a constant type in a non-singular approach are implemented. Defects are introduced by additional edges forming slots or holes in relation to the basic plate domain. Estimation of the defect position is performed while using wavelet coefficients of curvature and deformation signals as well as a newly proposed moving variance estimator.

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Section: Introductionmentioning

confidence: 99%

Crack identification in plates using 1-D discrete wavelet transform

Knitter-Piątkowska

Guminiak

Hloupis

2017

jtam

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“…In a process of machine exploitation, especially critical machines, rightful identification and assessment of the current technical condition of monitored objects is significantly important [1,2]. The ability to track and classify current values of diagnostic features, which are the markers of a technical condition, lets us decide how the device should be operated.…”

Section: Introductionmentioning

confidence: 99%

The visualization of shaft vibration using the algorithm of phase-amplitude data interpolation

Piątkowski

2016

J. Appl. Math. Comput. Mech.

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Abstract. In many cases of observations of phenomena and physical processes we use data measured in multidimensional spaces. However, in practice, for the economic or technical reasons, we cannot obtain equally numerous data sets for all dimensions. In this case we can say that we are trying to assess or classify this process by using a few parts of its projection. For processing and computing of an input data a different solutions of interpolation and/or approximation are often used. But data, which have phase-amplitude nature, should be treated in a specific way. The lack of proper interpretation of phase shifts in many cases can result in obtaining the significant distortions of an analyzed process image. In this paper the algorithm of phase-amplitude interpolation is presented. This algorithm has been used for creating the contours charts, as projections of rotating shaft vibrations, in transient operating conditions of the machine.

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“…Among the various methods for identifying defects in structures [1,2] Wavelet Transform (WT) should be mentioned [3,4]. Moreover, the area of defects can be effectively detected using the discrete form of signal analysis method, i.e.…”

Section: Introductionmentioning

confidence: 99%

Influence of the wavelet order on proper damage location in plate structures

Pawlak

Knitter-Piątkowska

2018

AIP Conference Proceedings

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Abstract. The rectangular thin plates were analyzed in the paper. The static response in plate structure subjected to the uniform load was derived by applying the finite element method. In the dynamic, experimental tests the accelerations were obtained with the use of modal hammer and DEWEsoft® software. Next, the analysis of the signal was carried out with the use of Discrete Wavelet Transform (DWT), provided that damage exists in the considered plate structure. It was assumed, that in the middle of the structure a certain area of the plate is thinner or there is a crack across the entire plate thickness. The aim of this work was to choose the appropriate wavelet order to reveal the localization of defect. The results of selected numerical example proved the efficiency of proposed approach.

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Damage detection using thermal experiments and wavelet transformation

Cited by 18 publications

References 14 publications

Crack identification in plates using 1-D discrete wavelet transform

Crack identification in plates using 1-D discrete wavelet transform

The visualization of shaft vibration using the algorithm of phase-amplitude data interpolation

Influence of the wavelet order on proper damage location in plate structures

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